It converted the inputs to analog so there isn't really a notion of 'overflow'.
But that is not even the real issue. The real issue that it is not analog, it is just "analog" with quotes. The neural network is executed by a digital computer, on digital hardware. So that "analog" is just the underlying float type of the of the CPU or GPU executing the network. That is still very much digital. Just on a different abstraction level.
Sure. Here is a semantics with an op-amp: https://www.tutorialspoint.com/linear_integrated_circuits_ap...